Position: Senior DevOps / Data Engineer
Work Location: Coopersburg, PA (Onsite)
Type of Employment: Contract

Experience Required: 12+ Years
Start Date: Immediate
Role Overview:

We are seeking a hybrid DevOps + Data Engineering profile, with a stronger emphasis on DevOps capabilities. The role owner will be required to modify & manage ETL pipelines as part of platform operations. The role owner should have hands on DevOps experience along with good understanding of data pipelines.

Key Result Areas and Activities

• Modify and manage data pipelines in DevOps setup
• Good understating of CI/CD pipelines

2. Development responsibilities

1. Software Asset Maintenance & Upgrades

? Upgrade and maintain third-party components such as ingress controllers, service meshes, monitoring agents, infrastructure libraries, and cloud-native tools.

? Apply the latest versions and security patches to ensure compliance, stability, and performance.

2. Infrastructure as Code (IaC) Enhancements

? Update and enhance IaC scripts to support version upgrades across development, QA, and production environments.

? Validate changes through sandbox testing before deployment to production.

3. Compatibility & Dependency Management

? Ensure upgraded components remain compatible with dependent services and applications.

? Identify and mitigate potential breaking changes or dependency conflicts.

4. Application Code Adjustments

? Implement necessary code changes in supported languages (e.g., Python) to accommodate new versions or configuration requirements.

? Address minor and moderate changes required for compatibility with upgraded components.

? Update existing unit tests in response to the application code changes.

5. Security & Compliance

? Apply immediate fixes for vulnerabilities.

? Maintain adherence to organizational security and governance guidelines.

6. Testing & Validation

? Create and execute test strategies for validating the upgrades.

? Execute existing unit tests and manual test cases post-upgrade.

? Conduct functional testing of impacted applications to ensure end-to-end stability.

? Validate application behaviour after code changes and infrastructure updates.

7. Reporting & Governance

? Provide weekly status reports detailing software versions, security posture, upgrade activities, and testing outcomes.

? Participate in regular reviews and acceptance processes.

Work and Technical Experience

Must-Have Skill Set

• Terraform
• CI/CD Pipelines
• Platform upgrades and maintenance
• QA exposure integration & platform testing
• Deep understanding of cloud data services (AWS) and migration strategies.
• Strong proficiency in ETL/ELT pipelines and framework development using Python. Development may not be needed but understanding is required
• Modifying & monitoring data pipelines for batch and real-time processing.
• Exceptional communication skills for engaging executives and non-technical stakeholders.
• Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads.

Good-to-Have Skill Set

• Certifications in cloud platforms (AWS) and data engineering.
• Experience with advanced analytics and machine learning pipelines.
• Prior consulting experience or leading large-scale data transformation programs.
• Knowledge of data extraction from SAP OData Services.
• Experience with multiple relational and NoSQL databases (Must have - Redshift, RDS and Athena).
• Experience with BI tools integration with enterprise data platforms.

Qualification:

• Bachelor's degree in computer science, engineering, or related field (master's degree is a plus)
• Demonstrated continued learning through one or more technical certifications or related methods
• At least 12+ years of relevant experience; two years may be substituted for a master's degree

Key expectations:

• Please submit a maximum of 3 quality submissions per week.
• Key Skills: strong hands-on experience with DevOps (Platform Upgrades, CI/CD Pipeline, IAC - Terraform) and Data Engineering (Managing ETL Pipelines, Python knowledge).